Paper
31 May 1995 Measurement of tracer gas distributions using an open-path FTIR system coupled with computed tomography
Anushka C. Drescher, Michael G. Yost, Doo Yong Park, Steven P. Levine, Ashok J. Gadgil, Marc L. Fischer, William W. Nazaroff
Author Affiliations +
Proceedings Volume 2365, Optical Sensing for Environmental and Process Monitoring; (1995) https://doi.org/10.1117/12.210787
Event: Optical Sensing for Environmental and Process Monitoring, 1994, McLean, VA, United States
Abstract
Optical remote sensing and iterative computed tomography (CT) can be combined to measure the spatial distribution of gaseous pollutant concentrations in a plane. We have conducted chamber experiments to test this combination of techniques using an Open Path Fourier Transform Infrared Spectrometer (OP-FTIR) and a standard algebraic reconstruction technique (ART). ART was found to converge to solutions that showed excellent agreement with the ray integral concentrations measured by the FTIR but were inconsistent with simultaneously gathered point sample concentration measurements. A new CT method was developed based on (a) the superposition of bivariate Gaussians to model the concentration distribution and (b) a simulated annealing minimization routine to find the parameters of the Gaussians that resulted in the best fit to the ray integral concentration data. This new method, named smooth basis function minimization (SBFM) generated reconstructions that agreed well, both qualitatively and quantitatively, with the concentration profiles generated from point sampling. We present one set of illustrative experimental data to compare the performance of ART and SBFM.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Anushka C. Drescher, Michael G. Yost, Doo Yong Park, Steven P. Levine, Ashok J. Gadgil, Marc L. Fischer, and William W. Nazaroff "Measurement of tracer gas distributions using an open-path FTIR system coupled with computed tomography", Proc. SPIE 2365, Optical Sensing for Environmental and Process Monitoring, (31 May 1995); https://doi.org/10.1117/12.210787
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KEYWORDS
Computed tomography

FT-IR spectroscopy

Data modeling

Spatial resolution

CT reconstruction

Reconstruction algorithms

Remote sensing

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